Evidence map›Paper›PMID 31131052›Full record

ArticleTheranostics2019

Rapid histology of laryngeal squamous cell carcinoma with deep-learning based stimulated Raman scattering microscopy.

Lili Zhang, Yongzheng Wu, Bin Zheng, Lizhong Su, Yuan Chen, Shuang Ma, Qinqin Hu, Xiang Zou, Lie Yao, Yinlong Yang and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Theranostics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Application of artificial intelligence in laryngeal lesions: a systematic review and meta-analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Pooled it
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  18. Nanoplastics Detected in Commercial Sea Salt.Environmental science & technology · 2024
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Lili ZhangState Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200433, China.
Yongzheng WuState Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200433, China.
Bin ZhengDepartment of Otolaryngology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China.
Lizhong SuDepartment of Otolaryngology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China.
Yuan ChenDepartment of Pathology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China.
Shuang MaDepartment of Pathology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China.
Qinqin HuDepartment of Pathology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China.
Xiang ZouDepartment of Neurosurgery, Department of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Lie YaoDepartment of Neurosurgery, Department of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Yinlong YangDepartment of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College; Fudan University, Shanghai 200040, China.
Liang ChenDepartment of Neurosurgery, Department of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Ying MaoDepartment of Neurosurgery, Department of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Yan ChenState Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200433, China.
Minbiao JiState Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maximal resection of tumor while preserving the adjacent healthy tissue is particularly important for larynx surgery, hence precise and rapid intraoperative histology of laryngeal tissue is crucial for providing optimal surgical outcomes. We hypothesized that deep-learning based stimulated Raman scattering (SRS) microscopy could provide automated and accurate diagnosis of laryngeal squamous cell carcinoma on fresh, unprocessed surgical specimens without fixation, sectioning or staining.

Indexed as

Deep LearningAutomation, LaboratoryCarcinoma, Squamous CellChinaHistological TechniquesHumansLaryngeal NeoplasmsNonlinear Optical MicroscopyPathology, Surgicalhead and neckintraoperative histologylabel-free imaginglaryngeal cancerstimulated Raman scattering

Identifiers

PMID31131052
PMCPMC6526002

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.